Machine Vision Engineer, Automated Manufacturing

Anduril-1; Costa Mesa (CA); In loco; USD 115.000 - 171.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity grants

Descrizione del lavoro

Anduril Industries is seeking a Machine Vision Engineer for its Manufacturing Automation team in Costa Mesa, CA. This role focuses on designing and implementing machine vision systems for industrial automation, quality inspection, and process monitoring on 2nd shift.

You will help select and validate vision hardware, deploy systems on production lines, and collaborate with engineering staff to resolve issues and train staff. A strong background in optics, programming, and automation is required.

Competenze

• Bachelor's degree in Electrical Engineering, Computer Science, Physics, Robotics, or related discipline.
• 2+ years hands-on experience with machine vision in industrial/ manufacturing environments.
• Exposure to Cognex, Keyence, Basler, or Sick hardware ecosystems.

Mansioni

• Design and implement machine vision systems for automation, quality inspection, defect detection, and process monitoring.
• Select, test, validate, and maintain vision hardware components (cameras, lenses, lighting, controllers).
• Install, test, and commission vision systems on production lines under senior engineers’ guidance.
• Collaborate with cross-functional teams to integrate inspection systems and receive mentorship.

Conoscenze

Machine vision

Python

C++

C#

Optics basics

Automation knowledge

PLC interfaces

Formazione

Bachelor's degree in EE/CS

Strumenti

Cognex

Keyence

Basler

Sick

Descrizione del lavoro

Anduril Industries is seeking a Machine Vision Engineer for its Manufacturing Automation team in Costa Mesa, CA. This role focuses on designing and implementing machine vision systems for industrial automation, quality inspection, and process monitoring on 2nd shift.

You will help select and validate vision hardware, deploy systems on production lines, and collaborate with engineering staff to resolve issues and train staff. A strong background in optics, programming, and automation is required.